Index Catalog // Hyrax

Machine learning in engineering : techniques to speed up numerical optimization

Schöpfer:: Cerbone, G. (Giuseppe)
Abstract:: Many important application problems in engineering can be formalized as nonlinear optimization tasks. However, numerical methods for solving such problems are brittle and do not scale well. For example, these methods depend critically on choosing a good starting point from which to perform the optimization search. In high-dimensional spaces, numerical...
Resource Type:: Dissertation

Correct abstraction in counter-planning : a knowledge compilation approach

Schöpfer:: Flann, Nicholas S.
Abstract:: Knowledge compilation improves search-intensive problem-solvers that are easily specified but inefficient. One promising approach improves efficiency by constructing a database of problem-instance/best-action pairs that replace problem-solving search with efficient lookup. The database is constructed by reverse enumeration- expanding the complete search space backwards, from the terminal problem instances. This approach...
Resource Type:: Dissertation

A factoring approach for probabilistic inference in belief networks

Schöpfer:: Li, Zhaoyu
Abstract:: Reasoning about any realistic domain always involves a degree of uncertainty. Probabilistic inference in belief networks is one effective way of reasoning under uncertainty. Efficiency is critical in applying this technique, and many researchers have been working on this topic. This thesis is the report of our research in this...
Resource Type:: Dissertation

Sliding-mode control of the super maneuverable aircraft

Schöpfer:: Koo, Chang Sul
Abstract:: In this thesis, A nonlinear methodology for the control of the highly maneuverable, high performance aircraft HARV (F-18) is studied by using sliding-mode control (SMC). This control law, which takes a continuous function when the input constraints are not considered, satisfies the reachability condition by which concerned states are driven...
Resource Type:: Dissertation

Topics in toroidal interconnection networks

Schöpfer:: Broeg, Robert Richard
Resource Type:: Dissertation

Optimization of seasonal irrigation scheduling by genetic algorithms

Schöpfer:: Canpolat, Necati
Abstract:: In this work, we first introduce a novel approach to the long term irrigation scheduling using Genetic Algorithms (GAs). We explore the effectiveness of GAs in the context of optimizing nonlinear crop models and describe application requirements and implementation of the technique. GAs were found to converge quickly to near-optimal...
Resource Type:: Dissertation

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Schöpfer:: Bae, Myung Mun
Abstract:: Many parallel machines, both commercial and experimental, have been/are being designed with toroidal interconnection networks. For a given number of nodes, the torus has a relatively larger diameter, but better cost/performance tradeoffs, such as higher channel bandwidth, and lower node degree, when compared to the hypercube. Thus, the torus is...
Resource Type:: Dissertation

Electrical characterization and circuit modeling of interconnections and packages for high speed circuits by time domain measurements

Schöpfer:: Jong, Jyh-ming
Abstract:: With edge rates of high speed digital devices pushing into the sub-nano second range, interconnections with the associated packages play a major role in determining the speed, size and performance of digital circuits and systems. The purpose of this study is to develop experimental techniques based on time domain peeling...
Resource Type:: Dissertation

Reinforcement learning for job-shop scheduling

Schöpfer:: Zhang, Wei, 1960-
Resource Type:: Dissertation

Optimal inference with local expressions

Schöpfer:: Borujerdi, Mohammad
Abstract:: Probabilistic inference using Bayesian networks is now a well-established approach for reasoning under uncertainty. Among many e ciency-driven tech- niques which have been developed, the Optimal Factoring Problem (OFP) is distinguished for presenting a combinatorial optimization point of view on the problem. The contribution of this thesis is to extend...
Resource Type:: Dissertation

Hyrax

Machine learning in engineering : techniques to speed up numerical optimization

Correct abstraction in counter-planning : a knowledge compilation approach

A factoring approach for probabilistic inference in belief networks

Sliding-mode control of the super maneuverable aircraft

Topics in toroidal interconnection networks

Optimization of seasonal irrigation scheduling by genetic algorithms

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Electrical characterization and circuit modeling of interconnections and packages for high speed circuits by time domain measurements

Reinforcement learning for job-shop scheduling

Optimal inference with local expressions

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